Functions for fitting Markov models

Documentation for package ‘RMC’ version 0.2

dataEG1	Simulated stationary data used in Foster and Bravington (2009) Section 5.1.1.
dataEG2	Simulated non-stationary data used in Foster and Bravington (2009) Section 5.1.1.
dataEG3movement	Simulated data, illustrating an outlying movement residual, used in Foster and Bravington (2009) Section 5.1.2.
dataEG3patch	Simulated data, illustrating an outlying patch residual, used in Foster and Bravington (2009) Section 5.1.2.
dataEG4	Simulated non-stationary data used in Foster and Bravington (2009) Section 5.1.3.
diagnos	Calculation of Markov residuals for discrete-time non-stationary Markov models with simple parameterisation.
diagnos.envel	Calculation of Markov residuals for discrete-time non-stationary Markov models with simple parameterisation.
examplesForDiagnostics	The examples section of this help file provides code to produce the plots in Section 5.1 of Foster and Bravington (2009).
hrplot	Plot horizontal residual plots for a RMC model.
MVfill	Fill in missing values via a single imputation from the fitted model.
RMC	Package Description
RMC.mod	Estimation of categorical discrete-time non-stationary Markov chain models with simple parameterisation.
RMC.pred	Prediction of local area stationary distribution for an arbitrary number of covariate combinations.
sim.chain	Simulate Markov chain data from a Markov model.
simRandWalk	Simulate a continuous auto-regressive process.